• A first principles approach to building scalable, customer-centric solutions
• A drive to solve meaningful & pragmatic problems for real-world people
• An ownership and impact oriented outlook on your efforts and growth
• An ability to iterate in real-time-solving novel problems, quickly and autonomously
• 5+ years of professional experience as a hands-on engineer building data-oriented products and/or ML systems/products
• Experience with real-time, online, and/or high-throughput & low-latency distributed systems
• Knowledge of key ML Ops team technologies (Spark, Data platform and Data coordination, Hadoop, Hive, feature platform serving systems, ML training and ML serving platforms, etc.)
• Works well with other stakeholders - has worked with cross-functional teams to drive projects over the finish-line
• High standards - sets high standards and expectations for project execution for themselves and for collaborators

Desirable

• Abnormal Security is looking for a Senior ML Infra Engineer to join the Detection Team
• The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and help make the world a safer place
• As an ML Infra Engineer focused on building systems for Detection’s Signal Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for Machine Learning Engineers
• Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine
• Ownership projects that enable us to meet ambitious goals for, such as building the plan to scale components of Detection’s ML Platform, such as our Behavioral Aggregate Systems, by 10x
• Collaborate closely with MLE teams, by distilling feedback, correlating it to our strategy, and executing on the
• Coach and mentor junior engineers via high quality code reviews and design reviews